# codegraph-mcp

> codegraph-mcp — siwarkhalfaoui-codegraph-mcp. Use this tool when you need to analyze and understand complex TypeScript/JavaScript codebases, as it indexes code into precise call and import graphs, allowing for querying of definitions, callers, and callees. It solves problems related to code navigation, impact analysis, and dependency tracking, providing valuable insights for developers. It takes in TypeScript/JavaScript codebases as input and outputs detailed graphs and query results, making it ideal for use cases such as debugging, refactoring, and optimizing code.

Canonical page: https://skillsregistry.net/skills/siwarkhalfaoui-codegraph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/siwarkhalfaoui-codegraph-mcp

## Description

An MCP server that indexes TypeScript/JavaScript codebases into precise call and import graphs using the TypeScript compiler API, allowing Claude or any MCP client to query definitions, callers, callees, and perform impact analysis.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x6ekiabqny)
- **Repository:** <https://github.com/SiwarKhalfaoui/codegraph-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "siwarkhalfaoui-codegraph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siwarkhalfaoui-codegraph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siwarkhalfaoui-codegraph-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
